We give the first algorithm that maintains an approximate decision tree ...
We develop the first fully dynamic algorithm that maintains a decision t...
We study the fixed-parameter tractability of the following fundamental
p...
We study exact active learning of binary and multiclass classifiers with...
We study the problems of counting copies and induced copies of a small
p...
We study an active cluster recovery problem where, given a set of n poin...
We study the problems of counting the homomorphisms, counting the copies...
We investigate the problem of exact cluster recovery using oracle querie...
We address the problem of computing the distribution of induced connecte...
We study the connected subgraph sampling problem: given an integer k ≥ 3...
We study the problem of recovering distorted clusters in the semi-superv...
The randomized technique of color coding is behind state-of-the-art
algo...
We investigate learning algorithms that use similarity queries to
approx...
Motivated by practical applications, we study the complexity of counting...
We study the complexity of counting the (induced) occurrences of a k-nod...
Approximating the stationary probability of a state in a Markov chain th...